D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 31 Citations 2,915 58 World Ranking 5351 National Ranking 29

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Cognition
  • Artificial intelligence

His scientific interests lie mostly in Neuroscience, Electroencephalography, Functional magnetic resonance imaging, Independent component analysis and EEG-fMRI. His Neuroscience research incorporates themes from Delusion, Psychosis and Schizophrenia. His Electroencephalography research focuses on Event-related potential in particular.

The concepts of his Functional magnetic resonance imaging study are interwoven with issues in Cognitive inhibition, Insula, Crossmodal and Brain mapping. His work carried out in the field of Independent component analysis brings together such families of science as Segmentation and Speech recognition. His EEG-fMRI study combines topics from a wide range of disciplines, such as Alpha, Resting state fMRI, Hemodynamics and Functional connectivity.

His most cited work include:

  • Increased Intrinsic Brain Activity in the Striatum Reflects Symptom Dimensions in Schizophrenia (94 citations)
  • Increased Intrinsic Brain Activity in the Striatum Reflects Symptom Dimensions in Schizophrenia (94 citations)
  • EEGIFT: group independent component analysis for event-related EEG data (94 citations)

What are the main themes of his work throughout his whole career to date?

Tom Eichele focuses on Electroencephalography, Audiology, Neuroscience, Functional magnetic resonance imaging and Event-related potential. His Electroencephalography research is multidisciplinary, incorporating perspectives in Artificial intelligence and Pattern recognition. His study on Laterality is often connected to Performance monitoring as part of broader study in Audiology.

His research integrates issues of Alpha and Schizophrenia in his study of Neuroscience. His research in Functional magnetic resonance imaging tackles topics such as Anterior cingulate cortex which are related to areas like Amygdala. His work in EEG-fMRI addresses issues such as Hemodynamics, which are connected to fields such as Functional connectivity.

He most often published in these fields:

  • Electroencephalography (68.24%)
  • Audiology (52.94%)
  • Neuroscience (50.59%)

What were the highlights of his more recent work (between 2014-2019)?

  • Audiology (52.94%)
  • Electroencephalography (68.24%)
  • Event-related potential (25.88%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Audiology, Electroencephalography, Event-related potential, Neuroimaging and Performance monitoring. Tom Eichele has researched Audiology in several fields, including Developmental psychology, Amygdala, Temporal Regions and Endophenotype. His study focuses on the intersection of Developmental psychology and fields such as Tourette syndrome with connections in the field of Cognitive development.

His Endophenotype research is multidisciplinary, relying on both EEG-fMRI, Error-related negativity, Anterior cingulate cortex and Functional magnetic resonance imaging. His Electroencephalography research entails a greater understanding of Neuroscience. The study incorporates disciplines such as Reading Epilepsy, Reflex Epilepsy and Pathology in addition to Neuroimaging.

Between 2014 and 2019, his most popular works were:

  • Presupplementary Motor Area Contributes to Altered Error Monitoring in Obsessive-Compulsive Disorder (39 citations)
  • Presupplementary Motor Area Contributes to Altered Error Monitoring in Obsessive-Compulsive Disorder (39 citations)
  • Presupplementary Motor Area Contributes to Altered Error Monitoring in Obsessive-Compulsive Disorder (39 citations)

In his most recent research, the most cited papers focused on:

  • Neuroscience
  • Cognition
  • Artificial intelligence

His primary areas of study are Electroencephalography, Audiology, Vascular dementia, Amygdala and EEG-fMRI. He regularly links together related areas like Alpha in his Electroencephalography studies. His work on Alpha rhythm as part of general Alpha research is frequently linked to Power loss, thereby connecting diverse disciplines of science.

Tom Eichele integrates Power loss and Neuroscience in his research. The various areas that he examines in his Amygdala study include Anterior cingulate cortex, Psychiatry, Functional magnetic resonance imaging and Endophenotype. As part of his studies on EEG-fMRI, Tom Eichele frequently links adjacent subjects like Error-related negativity.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

EEGIFT: group independent component analysis for event-related EEG data

Tom Eichele;Srinivas Rachakonda;Brage Brakedal;Rune Eikeland.
Computational Intelligence and Neuroscience (2011)

143 Citations

Reactivity of hemodynamic responses and functional connectivity to different states of alpha synchrony: a concurrent EEG-fMRI study.

Lei Wu;Tom Eichele;Tom Eichele;Vince D. Calhoun;Vince D. Calhoun.
NeuroImage (2010)

135 Citations

Mining EEG-fMRI using independent component analysis.

Tom Eichele;Vince D. Calhoun;Vince D. Calhoun;Stefan Debener.
International Journal of Psychophysiology (2009)

131 Citations

Age effects in dichotic listening to consonant-vowel syllables: Interactions with attention

Kenneth Hugdahl;Goran Carlsson;Tom Eichele.
Developmental Neuropsychology (2001)

121 Citations

Increased Intrinsic Brain Activity in the Striatum Reflects Symptom Dimensions in Schizophrenia

Christian Sorg;Andrei Manoliu;Susanne Neufang;Nicholas Myers;Nicholas Myers.
Schizophrenia Bulletin (2013)

120 Citations

High classification accuracy for schizophrenia with rest and task FMRI data.

Wei Du;Vince D. Calhoun;Vince D. Calhoun;Hualiang Li;Sai Ma.
Frontiers in Human Neuroscience (2012)

104 Citations

Automatic Identification of Functional Clusters in fMRI Data Using Spatial Dependence

Sai Ma;N. M. Correa;Xi-Lin Li;T. Eichele.
IEEE Transactions on Biomedical Engineering (2011)

98 Citations

Asymmetry of evoked potential latency to speech sounds predicts the ear advantage in dichotic listening.

Tom Eichele;Helge Nordby;Lars M. Rimol;Kenneth Hugdahl.
Cognitive Brain Research (2005)

96 Citations

The effect of voice-onset-time on dichotic listening with consonant-vowel syllables.

Lars M. Rimol;Tom Eichele;Kenneth Hugdahl.
Neuropsychologia (2006)

94 Citations

Mal-Adaptation of Event-Related EEG Responses Preceding Performance Errors

Heike Eichele;Hilde T. Juvodden;Markus Ullsperger;Markus Ullsperger;Tom Eichele.
Frontiers in Human Neuroscience (2010)

93 Citations

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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